Detecting brainwaves to evaluate mental health using LabVIEW and applications

A device to detect certain parameters of brainwaves like alpha, beta, delta, etc., to judge the behavior of mental state. Using this novel approach various factors like attention, stress, breathing index can be judged efficiently. To make it a complete e-health device, EOG (Electrooculography) sensor is introduced to it, to monitor the ocular movement of the eye and also to make it an autonomous device. The sole purpose of this system is to correctly detect and categorize the type of brainwaves and the eye movements, and then feed the input to the application side. The system consists of two parts: a) the hardware and b) digital signal processing module. The software part consists of the LabVIEW graphical program to monitor the components of brain waves. This research found a promising technique for reducing the complexities and to develop an overall e-health device, which could be further modified using the applications of Internet of Things (IoT).